Director, Decision Science

Role overview This director-level role leads a decision science function that turns data into better product, pricing, go-to-market, and operating decisions. The position combines people leadership, strategy setting, and hands-on involvement in modeling, experimentation, and executive-level advisory work.

Responsibilities - Build, lead, and develop a team of decision scientists and analysts, owning their career growth - Set the function's roadmap, deciding which problems to take on and how success is measured - Partner with product, engineering, marketing, finance, and the executive team to translate ambiguous business questions into clear analyses - Direct the development of predictive, prescriptive, and causal models that inform retention, pricing, and operating decisions - Raise the standard for how insights reach leaders, from dashboards and metric definitions to executive readouts - Uphold ethical, privacy-conscious data practices, including with student or other sensitive data

Requirements - Ten or more years in data science, analytics, or decision science, with at least three years managing and developing people - A track record of analytical work that has changed real decisions and produced measurable business outcomes - Deep expertise in experimental design, causal inference, statistical modeling, and machine learning, with judgment to match the method to the problem - Strong SQL skills plus fluency in Python or R - Experience with modern data platforms such as Snowflake, Databricks, or Spark - Ability to explain complex analyses to executives in plain language and defend the method to technical peers - A master's or PhD in a quantitative field, or equivalent practical experience

Nice to have - Background in education technology or another B2B SaaS environment - Familiarity with subscription and product-led growth metrics such as retention, expansion, and adoption - Experience building an analytics or decision science function from an early stage

Benefits and work setup - Competitive compensation with an employee ownership participation program - Flexible work culture spanning remote, hybrid, and in-office collaboration - Generous time off plus an end-of-year team recharge period - Comprehensive wellness programs, mental health support, and learning and development resources including tuition reimbursement - Recognition programs and an inclusive, support-oriented culture